Machine Learning

Neural Networks

Focusing on Computer Vision

This is going to be serial posting on the topic of neural networks

Part 1: Layers and Back-Propagation

A Summary of Pretrained Neural Network

For engineers or scientists who work in the field of Natural language processing(NLP) or Computer Vision (CV), designing a model that works for specific task on specified data does not mean we need to start from scratch. As we know a neural network = feature…

A Summary of Neural Network Layers

A core step learning and applying neural networks in real project is to understand different neural network layers: various convolution layers, pooling layers, Deconvolotuional layers, fully connected layers, or fully connected convolution layers. To understand it, we…

Notes with Neural Networks

1. a stack of smaller filters vs a single filter with large receptive field

Video Surveillance

The whole video surveillance system could be as shown in Figure 1.

A Walk-through of Cost Functions

Mean Squared Error (MSE)

This is one of the simplest and most effective cost functions that we can use. It can also be called the quadratic cost function or sum of squared errors.